Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems. - Kyle M. Tarplee; Ryan D. Friese; Anthony A. Maciejewski; Howard Jay Siegel (FedCSIS, 2013)

Efficient and Scalable Pareto Front Generation for Energy and Makespan in Heterogeneous Computing Systems. - Kyle M. Tarplee; Ryan D. Friese; Anthony A. Maciejewski; Howard Jay Siegel (WCO@FedCSIS, 2013)

An Analysis Framework for Investigating the Trade-Offs between System Performance and Energy Consumption in a Heterogeneous Computing Environment. - Ryan D. Friese; Bhavesh Khemka; Anthony A. Maciejewski; Howard Jay Siegel; Gregory A. Koenig; Sarah Powers; Marcia Hilton; Jendra Rambharos; Gene Okonski; Stephen W. Poole (IPDPS Workshops, 2013)

Energy-aware resource management for computing systems. - Howard Jay Siegel; Bhavesh Khemka; Ryan D. Friese; Sudeep Pasricha; Anthony A. Maciejewski; Gregory A. Koenig; Sarah Powers; Marcia Hilton; Rajendra Rambharos; Gene Okonski; Steve Poole 001 (IC3, 2014)

Utility Driven Dynamic Resource Management in an Oversubscribed Energy-Constrained Heterogeneous System. - Bhavesh Khemka; Ryan D. Friese; Sudeep Pasricha; Anthony A. Maciejewski; Howard Jay Siegel; Gregory A. Koenig; Sarah Powers; Marcia Hilton; Rajendra Rambharos; Steve Poole 001 (IPDPS Workshops, 2014)

Introduction to Special Issue on Energy Aware Resource Management and Scheduling (EARMS). - Ryan D. Friese; Anne Benoit; Howard Jay Siegel (Sustain. Comput. Informatics Syst., 2014)

A Methodology for Co-Location Aware Application Performance Modeling in Multicore Computing. - Daniel Dauwe; Eric Jonardi; Ryan D. Friese; Sudeep Pasricha; Anthony A. Maciejewski; David A. Bader; Howard Jay Siegel (IPDPS Workshops, 2015)

Scalable linear programming based resource allocation for makespan minimization in heterogeneous computing systems. - Kyle M. Tarplee; Ryan D. Friese; Anthony A. Maciejewski; Howard Jay Siegel (J. Parallel Distributed Comput., 2015)

Utility maximizing dynamic resource management in an oversubscribed energy-constrained heterogeneous computing system. - Bhavesh Khemka; Ryan D. Friese; Sudeep Pasricha; Anthony A. Maciejewski; Howard Jay Siegel; Gregory A. Koenig; Sarah Powers; Marcia Hilton; Rajendra Rambharos; Steve Poole 001 (Sustain. Comput. Informatics Syst., 2015)

Utility Functions and Resource Management in an Oversubscribed Heterogeneous Computing Environment. - Bhavesh Khemka; Ryan D. Friese; Luis Diego Briceno; Howard Jay Siegel; Anthony A. Maciejewski; Gregory A. Koenig; Chris Groër; Gene Okonski; Marcia Hilton; Rajendra Rambharos; Steve Poole 001 (IEEE Trans. Computers, 2015)

Efficient Genetic Algorithm Encoding for Large-Scale Multi-objective Resource Allocation. - Ryan D. Friese (IPDPS Workshops, 2016)

HPC node performance and energy modeling with the co-location of applications. - Daniel Dauwe; Eric Jonardi; Ryan D. Friese; Sudeep Pasricha; Anthony A. Maciejewski; David A. Bader; Howard Jay Siegel (J. Supercomput., 2016)

Energy and Makespan Tradeoffs in Heterogeneous Computing Systems using Efficient Linear Programming Techniques. - Kyle M. Tarplee; Ryan D. Friese; Anthony A. Maciejewski; Howard Jay Siegel; Edwin K. P. Chong (IEEE Trans. Parallel Distributed Syst., 2016)

Pushing the Limits of Irregular Access Patterns on Emerging Network Architecture: A Case Study. - Roberto Gioiosa; Thomas Warfel; Antonino Tumeo; Ryan D. Friese (CLUSTER, 2017)

Generating Performance Models for Irregular Applications. - Ryan D. Friese; Nathan R. Tallent; Abhinav Vishnu; Darren J. Kerbyson; Adolfy Hoisie (IPDPS, 2017)

Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties. - Ryan D. Friese; Mahantesh Halappanavar; Arun V. Sathanur; Malachi Schram; Darren J. Kerbyson; Luis de la Torre 001 (JSSPP, 2017)

Optimizing Distributed Data-Intensive Workflows. - Ryan D. Friese; Nathan R. Tallent; Malachi Schram; Mahantesh Halappanavar; Kevin J. Barker (CLUSTER, 2018)

Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. - Tanveer Hossain Bhuiyan; Mahantesh Halappanavar; Ryan D. Friese; Hugh R. Medal; Luis de la Torre 001; Arun V. Sathanur; Nathan R. Tallent (JSSPP, 2018)

TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows. - Joshua Suetterlein; Ryan D. Friese; Nathan R. Tallent; Malachi Schram (IEEE BigData, 2019)

Rapidly Measuring Loop Footprints. - Ozgur O. Kilic; Nathan R. Tallent; Ryan D. Friese (CLUSTER, 2019)

Advert: An Asynchronous Runtime for Fine-Grained Network Systems. - Ryan D. Friese; Antonino Tumeo; Roberto Gioiosa; Mark Raugas; Thomas Warfel (IPDRM@SC, 2019)

Effectively Using Remote I/O For Work Composition in Distributed Workflows. - Ryan D. Friese; Burcu Ozcelik Mutlu; Nathan R. Tallent; Joshua Suetterlein; Jan Strube 001 (IEEE BigData, 2020)

Rapid Memory Footprint Access Diagnostics. - Ozgur O. Kilic; Nathan R. Tallent; Ryan D. Friese (ISPASS, 2020)

Locality-Aware Scheduling for Scalable Heterogeneous Environments. - Alok V. Kamatar; Ryan D. Friese; Roberto Gioiosa (ROSS@SC, 2020)

Towards Supporting Semiring in MLIR-Based COMET Compiler. - Luanzheng Guo; Rizwan A. Ashraf; Ryan D. Friese; Gokcen Kestor (PACT, 2022)

A Task Based Approach for Co-Scheduling Ensemble Workloads on Heterogeneous Nodes. - Alok V. Kamatar; Ryan D. Friese; Roberto Gioiosa (IPDPS Workshops, 2023)

Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments. - Dylan Machovec; Howard Jay Siegel; James A. Crowder; Sudeep Pasricha; Anthony A. Maciejewski; Ryan D. Friese (J. Supercomput., 2023)

HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters. - Joshua Suetterlein; Stephen J. Young; Jesun Firoz; Joseph B. Manzano; Nathan R. Tallent; Ryan D. Friese; Kevin J. Barker; Timothy Stavenger (HPEC, 2024)

Automatic Extraction of Network Configurations for Realistic Simulation and Validation. - Joshua Suetterlein; Stephen J. Young; Jesun Firoz; Joseph B. Manzano; Ryan D. Friese; Nathan R. Tallent; Kevin J. Barker; Timothy Stavenger (ISPASS, 2024)

Lamellar: A Rust-based Asynchronous Tasking and PGAS Runtime for High Performance Computing. - Ryan D. Friese; Roberto Gioiosa; Joseph Cottam; Erdal Mutlu; Gregory Roek; Polykarpos Thomadakis; Mark Raugas (SC Workshops, 2024)